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Research on road parametric modeling and dynamic lightweighting methods driven by BIM-GIS integration.

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This study introduces a new method for parametric modeling and dynamic lightweight processing of roads (PMDL), enhancing flexibility and efficiency in road design. The approach optimizes 3D road models for better performance in integrated BIM-GIS systems.

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Area of Science:

  • Civil Engineering
  • Computer Graphics
  • Geographic Information Systems (GIS)

Background:

  • Current road design methods using Building Information Modeling (BIM) face challenges with inflexibility and low modeling efficiency.
  • Integrated BIM-GIS environments suffer from performance bottlenecks, hindering dynamic updates and visualization.
  • Existing modeling techniques like oblique photography modeling (OPM) and differential elements method (DiEM) have limitations in speed and accuracy.

Purpose of the Study:

  • To propose a novel integration-driven method for parametric modeling and dynamic lightweight processing of roads (PMDL).
  • To address inflexibility, improve modeling efficiency, and overcome performance bottlenecks in road design and BIM-GIS integration.
  • To enable rapid design iteration, dynamic optimization, and efficient visualization of digital twin roads.

Main Methods:

  • Integration of terrain-adaptive algorithms with lightweight rendering techniques.
  • Development of a parametric system for 3D road model features using spatial topological relationships and shape grammar.
  • Implementation of a threshold-triggered dynamic modeling mechanism for complex terrains, including continuous pavement generation, slope segmentation, pier height calculation, and tunnel generation.
  • Application of quadric error metrics (QEM) mesh simplification, level of detail (LOD), and view frustum culling for performance optimization on the OpenSceneGraphEarth (OSGEarth) platform.

Main Results:

  • Achieved a stable frame rate above 50 FPS for large-scale scenes, resolving rendering lag issues.
  • Significantly improved modeling speed, accuracy, and data scheduling efficiency compared to OPM and DiEM.
  • Demonstrated adaptive creation of roads, bridges, tunnels, and slopes for complex terrain conditions.

Conclusions:

  • The proposed PMDL method offers efficient technical support for intelligent design, dynamic updating, and multi-scale visualization of digital twin roads.
  • The integration-driven approach successfully enhances flexibility and modeling efficiency in forward road design.
  • The lightweight processing techniques effectively optimize the performance of 3D road models in integrated BIM-GIS environments.